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Claude Lejeune, Ph.D.

Claude Lejeune

Computer vision and mathematical modelling expert

Claude Lejeune holds a doctorate and a master’s degree in optical physics from Université Laval, as well as a master’s degree in astrophysics from Université de Montréal. He was previously a researcher at Institut national d’optique (INO) and an in-house director of research and development. He holds a number of patents with his colleagues at CRIQ.

His main areas of interest include computer vision, image processing, signal processing, neural networks, augmented and virtual reality, spectrometry (mainly visible and near infrared), and programming (C++, python, Matlab).

Publications and Talks

Ding, F., Lejeune, C., Poulin, A. et Laperrière, L. (2012), “Wood Chip Fiber Flow Rate Control and TMP Refining Energy Saving”, I2MTC 2012 IEEE, May 13-16, 2012 Graz, Austria Proceedings, 437-442.

Ding, F., Lejeune, C., Bouchard, J-L, Boulin, A. Dundar, E., Laperrière, L., 2010. Reduction of TMP Refining Energy by Stabilizing Wood Chip Basic Density. PTS Paper Symposium, 07-10 2010 Munich Germany

F.Ding, M.Benaoudia, P.Bédard, R.Lanouette, C.Lejeune, P.Gagné, 2005. Wood Chip Physical Quality Definition and Measurement. Pulp & Paper Canada, 106, 2, 27-32.

C. Lejeune, 1995. (Invited Paper) Wavelet transforms for infrared applications. Proceedings SPIE: Infrared Technology XXI, San Diego, 2552, 313.

C.Lejeune, 1994. Reconnaissance invariante des formes avec le filtre de Fourier-Mellin et un réseau neuronique. Thèse de doctorat, Université Laval.

C.Lejeune, Y.Sheng, 1993. Opto-neural system for invariant pattern recognition. Can. J. Phys., 71, 405-409.

Y.Sheng, C. Lejeune, 1991. Invariant pattern recognition using Fourier-Mellin transform and neural networks. Journal of Optics, 22, 5, 223-228.

C. Lejeune, Y. Sheng, H.H. Arsenault, 1991. Optoneural system for invariant pattern recognition. annual meeting of the Optical Society of America, San jose, California.

C. Lejeune, Y. Sheng, 1991. Improvement in invariant pattern recognition with neural networks and Fourier-Mellin filters. Proceedings of the Canadian conference on electrical and computer engineering, 25.3.1.

C. Lejeune, Y. Sheng, H.H. Arsenault, 1990. Pattern recognition using shift-invariant Fourier-Mellin descriptors and a back-propagation net. Proceedings SPIE, 1151.

C. Lejeune, Y. Sheng, 1990. Réseau neuronique back propagation pour la reconnaissance invariante avec le filtre de Fourier-Mellin. Annales de l'Acfas, 58, 239.

C.Lejeune, Y. Sheng, 1989. Invariant Pattern recognition using back-propagation neural network and Fourier-Mellin filters. Proceedings of the Canadian Conference on electrical and computer engineering, 1, 417.

C. Lejeune, Y. Sheng, 1989. Filtres de Fourier-Mellin pour la reconnaissance des formes invariantes. Annales de L'Acfas, 57, 251.

H.H. Arsenault, Y. Sheng, A. Jouan, C. Lejeune, 1988. Improving the performance of neural networks. Proceedings of SPIE conference on Neural Network Models for Optical Computing, 882, 75.

Y. Sheng, C. Lejeune, H.H. Arsenault, 1988. Frequency domain Fourier-Mellin descriptors for invariant pattern recognition. Opt. Eng., 27, 5.


Feng Ding, Claude Lejeune. « Méthode et système de stabilisation de densité sèche de copeaux », Brevet canadien No. CA 2,714,235C émis le 2014-01-07 et américain No. US 8,540,845B2, émis le 2013-09-24.

Feng Ding, Richard Gagnon et Claude Lejeune. « Méthode et appareil de granulométrie », Brevet canadien No. CA 2,711,677C émis le 2012-11-27 et américain US 8,655,048B2 émis le 2014-02-18.